Modèle d'analyse de la culture organisationnelle et diversité des genres
Bibliographic record
Abstract
Résumé L’intégration d’une main-d’œuvre diversifiée est difficile; la culture organisationnelle peut être une barrière malgré la mise en place de politiques favorables. Mais comment cerner cette culture? Depuis dix ans, la littérature qui en traite n’est pas riche mais Rutherford (2001) a caractérisé la culture organisationnelle relativement à l’intégration/l’exclusion des femmes gestionnaires; neuf dimensions ont été retenues. Nous testons son modèle à la lumière d’entrevues menées en 2008 auprès de 51 gestionnaires de trois organisations dotées d’un programme d’accès à l’égalité (PAE), afin de comprendre la lente progression des femmes vers la haute direction de chacune. Sept dimensions sont très utiles et une dimension semble déterminante : la conception de la place du travail dans la vie (division famille/travail). Nos données permettent de compléter le modèle et de le nuancer.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.019 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".